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RadioSense: Exploiting Wireless Communication Patterns for Body Sensor Network Activity Recognition
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-540-77690-1_2openalex-snapshot
Activity Recognition from On-Body Sensors: Accuracy-Power Trade-Off by Dynamic Sensor Selection
inferredcites →https://doi.org/10.1007/978-3-642-21726-5_12openalex-snapshot
SpeakerSense: Energy Efficient Unobtrusive Speaker Identification on Mobile Phones
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Recognition of Hearing Needs from Body and Eye Movements to Improve Hearing Instruments
inferredcites →https://doi.org/10.1007/s11276-006-0725-7openalex-snapshot
The Horus location determination system
inferredcites →https://doi.org/10.1109/iswc.2005.17openalex-snapshot
Detection of eating and drinking arm gestures using inertial body-worn sensors
inferredcites →https://doi.org/10.1109/iswc.2005.52openalex-snapshot
Trading off Prediction Accuracy and Power Consumption for Context-Aware Wearable Computing
inferredcites →https://doi.org/10.1109/iswc.2006.286350openalex-snapshot
Combining Motion Sensors and Ultrasonic Hands Tracking for Continuous Activity Recognition in a Maintenance Scenario
inferredcites →https://doi.org/10.1109/iswc.2009.18openalex-snapshot
Variability in Foot-Worn Sensor Placement for Activity Recognition
inferredcites →https://doi.org/10.1109/iswc.2010.5665861openalex-snapshot
A novel micro-vibration sensor for activity recognition: Potential and limitations
inferredcites →https://doi.org/10.1109/rtcsa.2010.19openalex-snapshot
Real-Time Activity Recognition in Wireless Body Sensor Networks: From Simple Gestures to Complex Activities
inferredcites →https://doi.org/10.1109/tmc.2010.175openalex-snapshot
See-Through Walls: Motion Tracking Using Variance-Based Radio Tomography Networks
inferredcites →https://doi.org/10.1117/1.2819119openalex-snapshot
Book Review: Pattern Recognition and Machine Learning
inferredcites →https://doi.org/10.1145/1460412.1460445openalex-snapshot
Sensing meets mobile social networks
inferredcites →https://doi.org/10.1145/1614320.1614347openalex-snapshot
Link layer behavior of body area networks at 2.4 GHz
inferredcites →https://doi.org/10.1145/1864349.1864396openalex-snapshot
Using wearable activity type detection to improve physical activity energy expenditure estimation
inferredcites →https://doi.org/10.1145/1869983.1869999openalex-snapshot
Reliable clinical monitoring using wireless sensor networks
inferredcites →https://doi.org/10.1145/2638728.2641311openalex-snapshot
A Probabilistic Approach to Handle Missing Data for Multi-Sensory Activity Recognition
inferredcites →https://doi.org/10.3390/diagnostics12112879openalex-snapshot
Application of Machine Learning in Epileptic Seizure Detection
inferredcites →https://doi.org/10.4108/icst.bodynets2008.2932openalex-snapshot
Body Posture Identification using Hidden Markov Model with a Wearable Sensor Network
inferredcites →https://doi.org/10.5555/944919.944968openalex-snapshot
An introduction to variable and feature selection
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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An energy‐efficient framework for ubiquitous phone access
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A Wearable RFID System for Real-Time Activity Recognition Using Radio Patterns
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Improving Web Performance in Home Broadband Access Networks
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Comparison Analysis of Radio_Based and Sensor_Based Wearable Human Activity Recognition Systems
inferred← citeshttps://doi.org/10.1007/s11277-018-5933-9openalex-snapshot
Probabilistic Hierarchical Model Using First Person Vision for Scenario Recognition
inferred← citeshttps://doi.org/10.1016/j.dcan.2015.02.006openalex-snapshot
A review on radio based activity recognition
inferred← citeshttps://doi.org/10.1109/access.2019.2922974openalex-snapshot
A Comprehensive Study of Smartphone-Based Indoor Activity Recognition via Xgboost
inferred← citeshttps://doi.org/10.1109/access.2020.3012021openalex-snapshot
Temporal-Frequency Attention-Based Human Activity Recognition Using Commercial WiFi Devices
inferred← citeshttps://doi.org/10.1109/cyber.2018.8688345openalex-snapshot
Human Activity Recognition System Based on Channel State Information
inferred← citeshttps://doi.org/10.1109/iccsn.2016.7587207openalex-snapshot
Research on a novel strategy for automatic activity recognition using wearable device
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Smart Medical Healthcare of Internet of Medical Things (IOMT): Application of Non-Contact Sensing
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An Opportunistic Transmission Protocol for Body Sensor Networks using RSSI and on-board accelerometer
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Exploiting the Data Sensitivity of Neurometric Fidelity for Optimizing EEG Sensing
inferred← citeshttps://doi.org/10.1109/jiot.2017.2670022openalex-snapshot
Real-Time Signal Quality-Aware ECG Telemetry System for IoT-Based Health Care Monitoring
inferred← citeshttps://doi.org/10.1109/jsen.2022.3159992openalex-snapshot
Human Activity Recognition Based on the Fading Characteristics of the On-Body Channel
inferred← citeshttps://doi.org/10.1109/mass.2014.58openalex-snapshot
A Theoretical Analysis of Path Loss Based Activity Recognition
inferred← citeshttps://doi.org/10.1109/nbis.2015.91openalex-snapshot
Two-Phase Activity Recognition with Smartphone Sensors
inferred← citeshttps://doi.org/10.1109/percomw.2016.7457119openalex-snapshot
Applicability of RF-based methods for emotion recognition: A survey
inferred← citeshttps://doi.org/10.1109/pimrc.2018.8580915openalex-snapshot
Device-free Human Activity Recognition Based on Random Subspace Classifier Ensemble
inferred← citeshttps://doi.org/10.1109/rtas.2013.6531089openalex-snapshot
AdaSense: Adapting sampling rates for activity recognition in Body Sensor Networks
inferred← citeshttps://doi.org/10.1109/tmc.2016.2538230openalex-snapshot
Toward a Wearable RFID System for Real-Time Activity Recognition Using Radio Patterns
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Direction-Aware, Audio-Based Pedestrian Relative Positioning by Swing Induced Doppler Shift
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Unobtrusive Activity Recognition and Position Estimation for Work Surfaces Using RF-Radar Sensing
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A Survey on Deep Learning for Human Activity Recognition
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An Energy Efficient Health Monitoring Approach with Wireless Body Area Networks
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HIT HAR: Human Image Threshing Machine for Human Activity Recognition Using Deep Learning Models
inferred← citeshttps://doi.org/10.1186/s13638-020-1654-3openalex-snapshot
Features extraction and analysis for device-free human activity recognition based on channel statement information in b5G wireless communications
inferred← citeshttps://doi.org/10.14257/astl.2013.29.37openalex-snapshot
A Study of Channel Characteristics in Wireless Body Sensor Network Systems
inferred← citeshttps://doi.org/10.14257/ijbsbt.2014.6.2.02openalex-snapshot
Channel Analysis Based on Received Signal Strength in Wireless Body Sensor Network Systems
inferred← citeshttps://doi.org/10.3389/fnbot.2017.00035openalex-snapshot
Hybrid Brain–Computer Interface Techniques for Improved Classification Accuracy and Increased Number of Commands: A Review
inferred← citeshttps://doi.org/10.3390/app8040508openalex-snapshot
Internet of Things for Sensing: A Case Study in the Healthcare System
inferred← citeshttps://doi.org/10.3390/s16122048openalex-snapshot
Wearable Sensor-Based Human Activity Recognition Method with Multi-Features Extracted from Hilbert-Huang Transform
inferred← citeshttps://doi.org/10.4108/icst.mobihealth.2014.257424openalex-snapshot
Optimistic Medium Access Control using Gait Anaysis in Body Sensor Networks
inferred← citeshttps://doi.org/10.5772/intechopen.79442openalex-snapshot
Device-Free Localization for Human Activity Monitoring
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